Analysis welding robots diagnosis based on fault tree analysis

LIANG Fen，JIANG Hong-wei，GUO Ya-nan，ZHU Ming-ri

（College of Information & Business，Zhongyuan University of Technology，Zhengzhou 450000，China）

Abstract：Welding robots as a large complex system mainly engaged in welding，cutting and spraying work，it has a high failure rate more difficult diagnosis for its complex control objects and many tasks. In order to solve the problem of diagnosing welding robots blindly，improve the efficiency of diagnosis and reliability of welding robots，the fault tree analysis（FTA）method was applied to the welding robot fault diagnosis based on analyzing the failure mode of robot and the trait of fault trees diagnosis. All the possible failure causes of welding robots system will be found by the fault repair experiences，the analysis method of from general to part，from top to bottom according to

the tree structure was applied，and the fault tree model of mechanic and electric control system on new welding robot was studied. Take the welding torch gesture and suspension height of welding robots for example，quantitative and qualitative analysis for fault diagnosis model was used to find the weakness and failure causes of system. The results indicate that the method is intuitive and simple，and have good maneuverability. It has greater theoretical significance and practical engineering value for new welding robot designing.